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Leon A. Gatys
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Year
Image style transfer using convolutional neural networks
LA Gatys, AS Ecker, M Bethge
Proceedings of the IEEE conference on computer vision and pattern …, 2016
6281*2016
Texture synthesis using convolutional neural networks
L Gatys, AS Ecker, M Bethge
Advances in neural information processing systems 28, 2015
12812015
Controlling perceptual factors in neural style transfer
LA Gatys, AS Ecker, M Bethge, A Hertzmann, E Shechtman
Proceedings of the IEEE conference on computer vision and pattern …, 2017
484*2017
Understanding low-and high-level contributions to fixation prediction
M Kummerer, TSA Wallis, LA Gatys, M Bethge
Proceedings of the IEEE international conference on computer vision, 4789-4798, 2017
2562017
Deep convolutional models improve predictions of macaque V1 responses to natural images
SA Cadena, GH Denfield, EY Walker, LA Gatys, AS Tolias, M Bethge, ...
PLoS computational biology 15 (4), e1006897, 2019
2052019
Texture and art with deep neural networks
LA Gatys, AS Ecker, M Bethge
Current opinion in neurobiology 46, 178-186, 2017
682017
What does it take to generate natural textures?
I Ustyuzhaninov, W Brendel, L Gatys, M Bethge
63*2016
A parametric texture model based on deep convolutional features closely matches texture appearance for humans
TSA Wallis, CM Funke, AS Ecker, LA Gatys, FA Wichmann, M Bethge
Journal of vision 17 (12), 5-5, 2017
542017
Image content is more important than Bouma’s Law for scene metamers
TSA Wallis, CM Funke, AS Ecker, LA Gatys, FA Wichmann, M Bethge
ELife 8, e42512, 2019
422019
App usage predicts cognitive ability in older adults
ML Gordon, L Gatys, C Guestrin, JP Bigham, A Trister, K Patel
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
332019
Diverse feature visualizations reveal invariances in early layers of deep neural networks
SA Cadena, MA Weis, LA Gatys, M Bethge, AS Ecker
Proceedings of the European Conference on Computer Vision (ECCV), 217-232, 2018
212018
Synthesising dynamic textures using convolutional neural networks
CM Funke, LA Gatys, AS Ecker, M Bethge
arXiv preprint arXiv:1702.07006, 2017
192017
Guiding human gaze with convolutional neural networks
LA Gatys, M Kümmerer, TSA Wallis, M Bethge
arXiv preprint arXiv:1712.06492, 2017
132017
Method and device for image synthesis
M Bethge, L Gatys
US Patent App. 15/880,750, 2018
102018
Synaptic unreliability facilitates information transmission in balanced cortical populations
LA Gatys, AS Ecker, T Tchumatchenko, M Bethge
Physical Review E 91 (6), 062707, 2015
62015
Modeling patterns of smartphone usage and their relationship to cognitive health
J Rauber, EB Fox, LA Gatys
Machine Learning for Health Workshop, NeurIPS 2019, 2019
52019
Towards matching peripheral appearance for arbitrary natural images using deep features
T Wallis, C Funke, A Ecker, L Gatys, F Wichmann, M Bethge
Journal of Vision 17 (10), 786-786, 2017
52017
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance
AC Miller, LA Gatys, J Futoma, E Fox
Machine Learning for Healthcare Conference, 308-336, 2021
32021
Machine learning assisted image prediction
CE Guestrin, LA Gatys, SV Joshi, GM Larsson, KR Watson, S Sridhar, ...
US Patent App. 16/706,578, 2020
12020
Introduction to NIPS 2017 Competition Track
S Escalera, M Weimer, M Burtsev, V Malykh, V Logacheva, R Lowe, ...
The NIPS'17 Competition: Building Intelligent Systems, 1-23, 2018
12018
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